Snowflake Drives the Future of Automotive with New AI-Based Solutions

Snowflake, the company specializing in AI Data Cloud, has announced a significant expansion of its platform for the industrial sector, focusing on developing specific solutions for the automotive industry. Since April 2023, the company has recorded remarkable growth in platform adoption among manufacturers, reflected in a 416% increase in initiatives related to data application development and secure information collaboration among companies.

This momentum has also led to a 185% increase in customized analytics implementation as manufacturers turn to Snowflake for a more comprehensive view of their operations. Moreover, the company has experienced a 188% growth in data science solutions aimed at advanced predictive modeling and artificial intelligence applications.

As part of its strategy, Snowflake is refining its AI Data Cloud to provide a more precise response to the specific needs of the automotive industry, a sector undergoing digital transformation that demands agile, scalable, and secure solutions. This investment is part of a broader effort to drive AI-based innovation across the manufacturing value chain.

Leading technology and industrial companies, such as Siemens, are already using Snowflake to transform their operations through artificial intelligence and advanced data analytics, while ensuring high standards of security and governance.

The automotive industry is undergoing a fundamental transformation, driven by four key trends: connected and software-defined vehicles, autonomous driving, electrification, and advanced manufacturing (Industry 4.0). This evolution generates massive amounts of data throughout the vehicle development process, manufacturing, supply chain, and after-sales services. Snowflake’s powerful capabilities for data sharing and AI, combined with specialized solutions from its partners, allow the entire automotive ecosystem—suppliers, original equipment manufacturers (OEMs), distributors, dealers, and service providers—to collaborate smoothly in vehicle development, optimize production processes, and leverage real-time information across the automotive value chain. Notably, 80% of the top OEMs in the automotive sector already rely on Snowflake’s platform for their data and AI initiatives.

Leading automotive companies such as CarMax, Cox Automotive, Nissan, and Penske Logistics, among others, are already using Snowflake’s easy-to-use, connected, and reliable platform to transform their operations through advanced analytics, real-time information from connected vehicles, and secure data collaboration.

“Snowflake’s platform has enhanced CarMax’s ability to tackle the unique challenges of the used car market,” says Abhi Bhatt, VP of Data & Analytics Engineering at CarMax. “By modernizing our data platform with Snowflake, we have increased our agility to respond quickly to market changes, expanded our data coverage, and streamlined customer experience. Snowflake provides the scalable, AI-ready foundation to continue innovating and leading in the automotive retail sector.”

“Snowflake is a key element in Subaru of New England’s cloud strategy,” states Guy Mitrano, Vice President, Chief Information & Digital Officer at Subaru of New England. “It is helping us prepare our data foundation for the future and deliver faster, smarter insights to our internal teams and dealers, enabling better decision-making, supporting our business operations, and adapting to the rapid digital transformation of the automotive industry.”

“Modern vehicles generate unprecedented amounts of data, and companies in the automotive sector need AI solutions that are easy to implement, capable of managing massive databases from across the value chain, and reliable for critical decision-making,” states Tim Long, Global Head of Manufacturing at Snowflake. “Snowflake’s solutions for the automotive sector leverage our manufacturing industry expertise to provide automotive companies with the foundation they need to integrate data across their operations, scale connected vehicle initiatives, and accelerate innovation in this rapidly evolving market.”

Thanks to its comprehensive partner ecosystem and enriched data marketplace, Snowflake enables automotive companies to:

Integrate data and connect silos throughout the vehicle lifecycle: It facilitates smooth data exchange between design systems, production environments, connected vehicles, service operations, and warranty systems, providing a comprehensive view of vehicle performance and customer experience. It accelerates development cycles, reduces operational costs, and delivers optimized services by removing barriers between business units, systems, clouds, and partners.

Leverage a scalable, high-performance platform for connected vehicle data: It supports the vast volumes of data generated by autonomous and software-defined vehicles through architecture designed for high-resolution data from sensors and cameras. It separates storage from processing to efficiently manage exponential growth, while maintaining performance. It consolidates all vehicle data streams onto a single platform that scales without compromising accessibility or insights.

Drive new revenue streams through data monetization and enhanced customer experience: It creates new revenue sources by securely sharing and monetizing automotive data products through Snowflake Marketplace. It provides a comprehensive view of customer interactions across all contact points to offer personalized experiences and services. It facilitates secure collaboration with ecosystem partners while maintaining strict privacy controls and regulatory compliance.

Enhance and scale advanced analytics with AI/ML capabilities: It democratizes access to AI and machine learning (ML) tools across the organization, allowing teams to develop predictive models without specialized infrastructure. It accelerates innovation in vehicle design, production quality, and maintenance by analyzing billions of observations from thousands of sensors. It leverages preferred development languages and tools to create custom AI applications that transform operations and enhance customer interactions.

Optimize supply chain resilience and operational efficiency: It provides real-time visibility into suppliers, inventory systems, and logistics partners to mitigate disruptions and reduce costs. It improves demand forecasting accuracy, minimizes stockouts, and reduces excess inventory. It transforms fragmented information systems into a unified platform that accelerates time-to-market and enables collaborative, data-driven decision-making.

Snowflake’s expansion into the automotive sector represents a natural evolution to help the automotive ecosystem transform from traditional manufacturers into digital consumer device companies, empowering them to tackle the largest technological disruption in the industry’s history. To accelerate innovation in the sector, Snowflake’s complete partner ecosystem, including leaders like Accenture, AWS, Deloitte, and EY, offers additional sector-focused solutions, technologies, and expertise. Furthermore, Blue Yonder, CGI, Cirrus Link Solutions, DXC Technology, evolv Consulting, HighByte, HiveMQ, kipi.ai, LandingAI, LTIMindtree, Mendix, Concept Reply, Sigma, Siemens Digital Industries Software, Tredence Inc., and Vertex Software have developed specialized solutions on the Snowflake platform to drive product transformation through the accelerated development of software-defined vehicles, quality-driven AI manufacturing, and predictive maintenance, along with real-time visibility and optimization in the supply chain. Through Snowflake Marketplace, automotive companies can directly access third-party datasets, including dealer information, electric vehicle charging stations, industry trends, consumer behavior data, driver mobility data, and vehicle inventory data, to enhance their analytical and decision-making capabilities.

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